A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials
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Title
A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials
Authors
Keywords
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Journal
Agronomy-Basel
Volume 10, Issue 2, Pages 175
Publisher
MDPI AG
Online
2020-01-27
DOI
10.3390/agronomy10020175
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- (2019) L. Comba et al. PRECISION AGRICULTURE
- A robust leaf area index algorithm accounting for the expected errors in gap fraction observations
- (2018) Alemu Gonsamo et al. AGRICULTURAL AND FOREST METEOROLOGY
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- Breeding to adapt agriculture to climate change: affordable phenotyping solutions
- (2018) José L Araus et al. CURRENT OPINION IN PLANT BIOLOGY
- A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
- (2018) Rasmus Houborg et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images
- (2018) Jose A. Fernandez-Gallego et al. Plant Methods
- Unmanned aerial systems-based remote sensing for monitoring sorghum growth and development
- (2018) Sanaz Shafian et al. PLoS One
- Estimation of biophysical parameters in wheat crops in Golestan province using ultra-high resolution images
- (2018) Alireza Sharifi Remote Sensing Letters
- Improving leaf area index (LAI) estimation by correcting for clumping and woody effects using terrestrial laser scanning
- (2018) Xi Zhu et al. AGRICULTURAL AND FOREST METEOROLOGY
- Transforming the global food system
- (2018) Günther Fischer NATURE
- Detection and analysis of wheat spikes using Convolutional Neural Networks
- (2018) Md Mehedi Hasan et al. Plant Methods
- Estimating above ground biomass of winter wheat at early growth stages using digital images and deep convolutional neural network
- (2018) Juncheng Ma et al. EUROPEAN JOURNAL OF AGRONOMY
- Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives
- (2018) Guangjian Yan et al. AGRICULTURAL AND FOREST METEOROLOGY
- Retrieving the gap fraction, element clumping index, and leaf area index of individual trees using single-scan data from a terrestrial laser scanner
- (2017) Yumei Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-feature machine learning model for automatic segmentation of green fractional vegetation cover for high-throughput field phenotyping
- (2017) Pouria Sadeghi-Tehran et al. Plant Methods
- Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy
- (2017) et al. Remote Sensing
- Editorial: Plant Phenotyping and Phenomics for Plant Breeding
- (2017) Gustavo A. Lobos et al. Frontiers in Plant Science
- Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks
- (2017) Jordan R. Ubbens et al. Frontiers in Plant Science
- Rapid breeding and varietal replacement are critical to adaptation of cropping systems in the developing world to climate change
- (2017) Gary N. Atlin et al. Global Food Security-Agriculture Policy Economics and Environment
- Wheat ear carbon assimilation and nitrogen remobilization contribute significantly to grain yield
- (2016) Bangwei Zhou et al. Journal of Integrative Plant Biology
- Mapping Vineyard Leaf Area Using Mobile Terrestrial Laser Scanners: Should Rows be Scanned On-the-Go or Discontinuously Sampled?
- (2016) Ignacio del-Moral-Martínez et al. SENSORS
- Machine Learning for Plant Phenotyping Needs Image Processing
- (2016) Sotirios A. Tsaftaris et al. TRENDS IN PLANT SCIENCE
- Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery
- (2016) Michael Schirrmann et al. Remote Sensing
- Use of allometric models to estimate leaf area in Hymenaea courbaril L.
- (2016) Jânia Claudia Camilo dos Santos et al. Theoretical and Experimental Plant Physiology
- Understanding the variability in ground-based methods for retrieving canopy openness, gap fraction, and leaf area index in diverse forest systems
- (2015) William Woodgate et al. AGRICULTURAL AND FOREST METEOROLOGY
- Improved wide-angle, fisheye and omnidirectional camera calibration
- (2015) Steffen Urban et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Using High-Resolution Hyperspectral and Thermal Airborne Imagery to Assess Physiological Condition in the Context of Wheat Phenotyping
- (2015) Victoria Gonzalez-Dugo et al. Remote Sensing
- High-Throughput Phenotyping to Detect Drought Tolerance QTL in Wild Barley Introgression Lines
- (2014) Nora Honsdorf et al. PLoS One
- Pheno-Copter: A Low-Altitude, Autonomous Remote-Sensing Robotic Helicopter for High-Throughput Field-Based Phenotyping
- (2014) Scott Chapman et al. Agronomy-Basel
- Development of an app for estimating leaf area index using a smartphone. Trueness and precision determination and comparison with other indirect methods
- (2013) R. Confalonieri et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
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- (2013) Pedro Andrade-Sanchez et al. FUNCTIONAL PLANT BIOLOGY
- Field high-throughput phenotyping: the new crop breeding frontier
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- Field-based phenomics for plant genetics research
- (2012) Jeffrey W. White et al. FIELD CROPS RESEARCH
- Solutions for a cultivated planet
- (2011) Jonathan A. Foley et al. NATURE
- Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
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- Estimation of leaf area and clumping indexes of crops with hemispherical photographs
- (2008) Valérie Demarez et al. AGRICULTURAL AND FOREST METEOROLOGY
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